Generative AI Engineer

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Requirements:

• At least +5 years of working experience and +2 years in AI.
• Proven experience in developing AI agents using Langchain or similar frameworks.
• Strong hands-on experience in fine-tuning LLMs using Hugging Face, OpenAI, or similar platforms.
• Deep understanding of vector databases like Pinecone, Weaviate, Milvus.
• Experience in developing and deploying complex RAG systems.
• Programming skills in Python and frameworks such as TensorFlow or PyTorch.
• Solid understanding of machine learning, NLP, and deep learning techniques.
• Experience with cloud platforms like AWS, GCP, or Azure.

Responsibilities:

• Design, develop, and implement AI agents using tools such as Langchain or similar frameworks.
• Fine-tune Large Language Models (LLMs) to improve their accuracy and performance.
• Integrate and manage vector databases to support efficient RAG systems.
• Collaborate with cross-functional teams for AI capabilities integration.
• Develop workflows for large-scale AI model training and deployment.
• Stay updated with AI trends to enhance solutions.
• Provide technical leadership and mentorship.